Mathematically speaking, FFT functions now support 2Gb-sized arrays and the rng function, with the R2011a release, got higher possibilities with random number generation than with rand or randn. To improve data interpolation performance, Matlab changed the interpolation formula (interp1, interp2, interp3 and intern) and griddedInterpolant class so as to optimize memory efficiency to interpolate data grids. Then, a lot of mathematical functions and arithmetic operations mainly used with matrix calculation are more efficient thanks to multithread computation with multicore computers (fft, sum, prod, min, max, sort, filter, bsxfun, sparse matrix QR, conv2, mrdivide, convn, histc, sortrows,…) With a more powerful JIT compiler, instructions in command lines – and in cells within the editor – are running faster in the environment. Matlab enhances its computation performance by improving its mathematical functions and parallelization tools so as to reduce processing time when dealing with big data. %% Function that is run by objCleanUp when ending the functionįprintf( ‘objCleanup : fermeture du fichier “%s”\n’, fileName)
ObjCleanup = fermeture(fid, nomFichier)) Įrror( ‘lireFichier:FichierVide’, ‘Le fichier est vide’) % Add on CleanUp object to close file when returning function %% Exemple onCleanUp to ensure file closure in case of errorįunction strText = lireFichier(nomFichier)Įrror( ‘lireFichier:ImpossibleOuvrirFichier’, … When programming, cleaning tasks (closing files, restoring the default path…) can be specified after running a function thanks to the object: onCleanup. MyObject = containers.Map(myKeys, myValues) This type of data combines readability of structure and ‘container simplicity’ of cell arrays. You can store all kind of data (matrix, structures, cells, strings, object and even other Maps). A key can be a real number or a string instead of a positive integer, so it means more flexibility to access data. From now on, it is possible to index a table with a “key”. It is a good point for Python or Perl programmers who are familiar with these data types. In addition, to implement lookup tables, Matlab has created, since R2008b, a new kind of data: containers.Map. However, since the R2011a release, the class copyable brings a new behavior when copying a handle class.
References to objects are possible with the keyword handle and allow object handling without copying it. It can be organized in a package to manage the name space and facilitate the syntax during their calls. A Matlab class describes properties, methods and events. A class-defining file is recognized thanks to the keyword classdef. Indeed, Matlab changed its syntax dedicated to object-oriented programming and added concepts and rules that already exist in other object languages, like classes and references.
One of the most significant upgrades of Matlab during the last few years was made with object-oriented programming.
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